scholarly journals Factors Affecting Sustainable Intention to Use Mobile Banking Services

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110299
Author(s):  
Phaninee Naruetharadhol ◽  
Chavis Ketkaew ◽  
Niracha Hongkanchanapong ◽  
Piranat Thaniswannasri ◽  
Techin Uengkusolmongkol ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Mobile Banking ◽  
Banking Services ◽  
Factors Affecting ◽  
Self Service ◽  
Acceptance Model ◽  
Self Service Technology

This study aims to (a) identify perception factors that affect current mobile banking (M-banking) consumers’ continuous use of the technology, (b) explain the self-service technology (STT) dimensions that affect customers’ behavioral intention, and (c) be able to offer recommendations to the banking industry or other organizations related to M-banking in terms of developing M-banking services in the future. Analyzed data were collected from 688 existing Thai M-banking users through online questionnaires. This study used the SPSS and AMOS statistical programs to analyze the data by applying structural equation modeling based on SSTs’ service qualities and the technology acceptance model (TAM). From the results, this analysis shows positive and significant relationships among SSTs’ service qualities, perception, and sustainable intention to use M-banking services. This study provides vital knowledge related to essential characteristics of M-banking as an STT that could assist banking institutions and application providers in enhancing their M-banking products. Moreover, this study adds to the knowledge area of SSTs’ service qualities in financial mobile application dimensions.

scholarly journals Analisis Faktor yang Mempengaruhi Penerimaan Nasabah terhadap Layanan Mobile Banking

2020 ◽  
Vol 12 (1) ◽  
pp. 95-104
Author(s):  
Hasbi Assidiki Mauluddi
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Mobile Service ◽  
Mobile Banking ◽  
Factors Affecting ◽  
Implementation Model ◽  
Mobile Banking Applications ◽  
Acceptance Model

The purpose of this study is to investigate factors affecting the consumers intention to use Mobile Banking. A survey was used to collect data from 86 samples from all smartphone device owners and has been experienced with Mobile Banking applications. The proposed Mobile Banking implementation Model In this study is based on the Technology Acceptance Model (TAM) and mobile service Quality (MSQ). Structural Equation Modeling (SEM) is used to analyze data. The results reveal that the ease of use, usability and quality of service to the use of Mobile Banking positively influential. Therefore, the Bank should emphasize the strategy to increase the benefits of Mobile Banking perception by prioritizing this factor into decision making.

Factors affecting sustainable adoption of e-health systems in Resource-Limited settings: an exploratory survey of Ethiopian hospitals from the perspective of healthcare professionals. (Preprint)

2019 ◽  
Author(s):  
Mulugeta Hayelom
Keyword(s):  
Technology Acceptance ◽  
Health Systems ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Factors Affecting ◽  
Resource Limited ◽  
Referral Hospitals ◽  
Acceptance Model

BACKGROUND Electronic health (e-health) is becoming a prominent component of the health care system. The implementation and sustainable adoption of e-health systems is now taking as a big agenda in developing countries like Ethiopia, hence it all about saving a millions of lives. Even though there are some pilot e-health implementations, the success and sustainability of the systems are found less than the expected. So, this study aims to fill the gap in identifying the factors affecting sustainable adoption of e-health systems using the revised technology acceptance model at five referral hospitals of Amhara regional state of Ethiopia. OBJECTIVE To identify the factors affecting sustainable adoption of e-health systems using the revised technology acceptance model at five referral hospitals of Amhara regional state of Ethiopia. METHODS Institutional based cross-sectional study design was conducted among a total of 384 health care professionals. Self-administered questionnaire was used to collect the data. And the data were entered and the descriptive data were analyzed using Epi-info version 7 and SPSS version 20 respectively. Structural equation modeling, using AMOS 22, was also used to measure and clarify the degree of relationships between variables. RESULTS The findings of the structural equation modeling (SEM) indicates that perceived usefulness has significance influence on attitude (β =0.29, P<0.01) and intention to use e-health (β =0.38, P<0.01); technical infrastructure has significance influence on attitude (β =0.41, P<0.01) and intention to use e-health (β =0.34, P<0.01); staffs IT experience has significance influence on attitude (β =0.26, P<0.05); security concerns of a system has significance influence on attitude (β =0.34, P<0.05) and intention to use e-health (β =0.33, P<0.01); and attitude has also significance influence on intention to use e-health (β =0.52, P<0.01), respectively. CONCLUSIONS Electronic health system implementers and executives in resource limited settings are in urgent need of adoption models to design proper implementation strategies. The constructs; perceived usefulness, technical infrastructure, staffs IT experience, security concerns and attitude portrayed in the revised TAM model were found with a strong positive relationship with the dependent variable, intention to use e-health. Therefore, the implementers should give a priority in enhancing technical infrastructures of the organizations, staffs IT skill, and their attitude towards e-health by giving continuous support.

scholarly journals An integration of TAM with usage barriers and ability to understand consumers intention to use SSTs

2020 ◽  
Vol 13 (2) ◽  
pp. 137-150
Author(s):  
Sompoch Tongnamtiang ◽  
Adisorn Leelasantitham
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Self Service ◽  
Self Service Technology

This study examined the factors that influence consumers’ acceptance and use of self-service technology by integrating a ground theory model such as the technology acceptance model and the theory of innovation adoption. The variables that affect consumers’ attitudes and intentions were investigated; this included perceived usefulness, perceived ease of use, relative advantage, complexity and knowledge. Further, the variables from the resistance theory, which consist of usage barriers and ability, were investigated. Interviews and surveys were conducted with two business operators that provide TVM services; eight hundred online and offline consumers who experienced the TVMs were selected as a sample. The research model of this study was developed, and the correlations between the variables analyzed, using structural equation modeling. Our results confirm that the factors such as relative advantage, knowledge, perceived usefulness and perceived ease of use positively affected the attitude and intention toward using the TVM; factors such as usage barriers and complexity negatively impacted the intention to use the top-up machine. These results can be used as baseline data for developing or designing self-service technology. Entrepreneurs should consider these factors to make technology continue to be recognized and persisted in the use of technology.  

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

scholarly journals An Empirical Analysis of Mobile Banking Adoption in Vietnam

2020 ◽  
Author(s):  
Bui Nhat Vuong
Keyword(s):  
Mobile Phone ◽  
Structural Equation ◽  
Banking Sector ◽  
Service Providers ◽  
The Body ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Intention To Use ◽  
Mobile Banking ◽  
Banking Services

Mobile phones with banking technology are becoming more readily available in Vietnam. Similarly, many financial institutions and mobile phone service providers are teaming up to provide several banking services to customers via the mobile phone. However, the number of people who choose to adopt or use such technologies is still relatively low. Therefore, there is a need to assess the acceptance of such technologies to establish factors that hinder or promote customer’s intention to use mobile banking. Survey data collected from 452 consumers was analyzed to provide evidence. Results from the partial least squares structural equation modeling (PLS-SEM) using the SmartPLS 3.0 program indicated that perceived easy to use, perceived credibility, usefulness, attitude, perceived behavioral control and subjective norm are significant with respect to the customer’s intention to use mobile banking services. The results of the data analysis contribute to the body of knowledge by demonstrating that the above factors are critical in intention to use mobile banking in a developing country context. The finding of this study can also help marketers in the banking sector offer more suitable marketing strategies in their field in order to make higher attractiveness with mobile banking

A comprehensive acceptance model for smart home services

2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh
Keyword(s):  
Technology Acceptance ◽  
Smart Home ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

Factors Influencing the Use of Smartphones for Programing: A Structural Equation Modeling Approach

2020 ◽  
Vol 17 (05) ◽  
pp. 2050032
Author(s):  
Asim Suleman A. Alwabel ◽  
Said S. Al-Gahtani ◽  
Ahmed Talab
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
End Users ◽  
Ease Of Use ◽  
Decision Makers ◽  
Equation Modeling ◽  
External Control ◽  
Factors Affecting ◽  
Hand Tool ◽  
Acceptance Model

The ubiquitous application of smartphones and their advanced development have created an opportunity for using them as coding platforms. In this study, we compared between the use of personal computers (PCs) and smartphones to investigate the factors affecting the use of smartphones in programing. The behavioral intentions of smartphone end-users are inspired by the ease of use perception, enjoyment perception, programing anxiety, perception of external control, and smartphone design aesthetics. Although the [Formula: see text] value of the smartphone model was lower than that of the PC model, the end-users’ adoption decisions could have shifted toward accepting the use of smartphones for programing had their decisions been free of enforcement. In this study, design aesthetics and programing anxiety were introduced to Technology Acceptance Model 3 in an Arabic environment. Additionally, the model was creatively applied for guiding practitioners in two situations. First, when organizations are in the quest for emerging technology to replace the legacy technology, they might apply the presented side-by-side comparison of the use of PCs with that of smartphones in programing. Second, at a time when decision makers analyze what might hinder the adoption of a recently introduced technology, the model can be a successful hand tool guiding the top management in identifying technology acceptance interventions, an approach this research revealed. Furthermore, in this paper, the research implications and recommendations are presented for technology practitioners and designers.

Determinants of intention to use Islamic banking

2019 ◽  
Vol 13 (1) ◽  
pp. 147-163 ◽  
Author(s):  
Samia Ayyub ◽  
Wang Xuhui ◽  
Muhammad Asif ◽  
Rana Muhammad Ayyub
Keyword(s):  
Consumer Behavior ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Practical Significance ◽  
Equation Modeling ◽  
Islamic Banking ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to explore the determinants of intention to use Islamic banking and compare the consumer behavior of users and non-users of Islamic banking. This study incorporates the theory of planned behavior in Islamic banking perspective with an additional construct from technology acceptance model. Design/methodology/approach The research is quantitative in nature, and survey questionnaire was used to get data from four cities of Pakistan. The study manages to get 300 questionnaires from which only 264 were usable for analysis. The structural equation modeling was used for testing the hypotheses. Findings The result shows that perceived behavior control and perceived usefulness are the most significant predictors of intention to use of Islamic banking among users and non-users. Attitude turns out to be a non-significant factor for non-users of Islamic banking. Subjective norm is also found to be non-significant with intention to use Islamic banking in both groups. Originality/value This study has theoretical as well as practical significance in the subject of consumer behavior in Islamic banking. Theoretically, it attempts to fill the gap caused by the scarcity of research in exploring the consumer behavior towards Islamic banking in Pakistan. This study provides insights into the consumer behavior of users and non-users of Islamic banking and thus presents a comparison. Practically, this study provides guidelines for Islamic banks in introduction, propagation and promotion of Islamic banking products and services to establish Islamic banking as a social norm.

Mobile Banking Adoption in the United States

2015 ◽  
Vol 7 (3) ◽  
pp. 18-30 ◽  
Author(s):  
Michel N. Engwanda
Keyword(s):  
United States ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Diffusion Theory ◽  
The United States ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Innovation Diffusion Theory ◽  
Quantitative Correlational Study ◽  
Acceptance Model

Mobile banking penetration has been relatively low even though smartphones are the most dominant forms of mobile computing in the United States. This quantitative correlational study is focused on how consumers ‘perceptions affect their intention to use mobile banking in the United States. Among U.S. consumers with smartphones, Internet access, and a bank account; 68% used Internet, 33% used telephone-based banking, and only 21% engaged in some type of mobile banking activities in 2011. The web-based survey used in this study was derived from the technology acceptance model extended by the innovation diffusion theory. Data were collected by e-mail from a random sample of 398 people in the United States. The structural equation modeling (SEM) technique was used to analyze data. The results indicated that, perceived compatibility, credibility, and costs were the significant predictors of mobile banking adoption in the United States.

Consumer acceptance of smart speakers: a mixed methods approach

2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

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